openpipeline_spatial: Adding Spatial Context

Spatial transcriptomics and imaging-based omics technologies reveal not just what genes are expressed, but where they are expressed within tissues. The openpipeline_spatial package provides standardized workflows to process data from multiple spatial platforms including 10x Xenium, NanoString CosMx, and 10x Visium.

Convert proprietary formats into standardized H5MU files, perform quality control, and prepare your spatial data for downstream analysis with confidence.

Platform Support

The package currently supports major spatial omics platforms:

Data Conversion & Import

Mapping & Quantification

Quality Control & Filtering

Interoperability

Workflow Integration

Multi-Sample Processing

The spatial_process_samples workflow handles batch processing of multiple spatial samples with consistent preprocessing steps.

Why Standardize Spatial Data?

Each spatial platform generates data in different formats with varying metadata structures. By converting to H5MU format, you can:

  • Unify analysis pipelines across different spatial technologies
  • Integrate spatial and single-cell data using common data structures
  • Leverage existing tools in the spatial analysis ecosystem
  • Ensure reproducibility with containerized, versioned components